Cybersecurity, Privacy, and Intelligent Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 63
Special Issue Editors
Interests: information systems security; cyber-security training; Internet-of-Things (IoT); Cyber-Physical Systems (CPS); SDN/NFV; big data analysis; blockchaining and forensics; ambient intelligence and disaster mitigation planning
Special Issues, Collections and Topics in MDPI journals
Interests: reconfigurable intelligent surface; path loss; Internet of Things; intrusion detection system; metasurface
Special Issue Information
Dear Colleagues,
The rapid evolution of intelligent systems, including artificial intelligence (AI), machine learning (ML), smart IoT devices, and autonomous agents, is transforming critical sectors such as healthcare, transportation, industry, and public services. While these technologies provide significant benefits in terms of automation, adaptability, and decision-making, they also introduce complex cybersecurity and privacy risks. These challenges are intensified by the growing interconnectivity, data sensitivity, and autonomy of intelligent systems. At the same time, new regulatory frameworks such as the European Union’s AI Act, the General Data Protection Regulation (GDPR), and the Cyber Resilience Act are reshaping expectations for transparency, accountability, trustworthiness, and built-in security in AI-enabled environments.
This Special Issue aims to highlight state-of-the-art research at the intersection of cybersecurity, privacy, and intelligent systems, with a particular emphasis on secure, trustworthy, and regulation-aware AI technologies. We invite high-quality original research papers, reviews, and case studies addressing the secure design, implementation, and evaluation of intelligent systems. Topics of interest include, but are not limited to, secure and federated machine learning; privacy-preserving data mining and AI applications; adversarial attack prevention and model hardening; cryptographic solutions for AI and IoT platforms; AI risk classification and compliance auditing; threat modeling in cyber-physical and IoT environments; blockchain-based solutions for trust and data integrity; secure AI lifecycle management and testing.
This Special Issue provides a timely forum for researchers, developers, and practitioners to present innovative technical approaches and practical applications that support the safe and responsible development of intelligent systems. Submissions that bridge disciplines or demonstrate real-world applications in industry or public services are especially welcome.
Dr. George Hatzivasilis
Prof. Dr. Ioannidis Sotirios
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- secure and federated machine learning
- privacy-preserving AI and data analytics
- adversarial attack detection and defense
- cryptographic techniques for intelligent systems
- threat modeling in cyber-physical and IoT systems
- blockchain for trust and data integrity
- secure lifecycle management of AI models
- trust in autonomous and AI-enabled IoT environments
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